浅谈MEC仿真中的移动性管理

Paulo Araújo, H. López, João Faria, Alexandre J. T. Santos
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引用次数: 0

摘要

多访问边缘计算(MEC)将云功能引入边缘,允许功能较弱的设备卸载任务,同时跨边缘主机有效分配内容和资源,从而实现超低延迟。随着网络上的分布式资源和移动设备不断改变位置,正确管理和编排这些资源以有效地提供最佳网络性能是最重要的。本文研究了MEC系统如何管理机动性,以及在MEC机动性仿真方面所做的努力。使用Simu5G开发了MEC模拟设置和两个场景,并评估了它们在受sumo生成的移动数据影响时的延迟和资源使用情况。仿真分析表明,MEC系统在不同的机动条件下反应不同。此外,开发的设置对于在MEC环境中开发和测试移动性管理策略非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Mobility Management in MEC Simulation
Multi-access Edge Computing (MEC) brings cloud capabilities to the edge, allowing less powerful devices to offload tasks while, together with the effective distribution of content and resources across edge hosts, enabling ultra-low latency. With the distributed resources across the network and mobile devices constantly changing location, it is most important to correctly manage and orchestrate those resources to deliver the best possible network performance efficiently. This paper investigates how MEC systems manage mobility and which efforts have been made in mobility simulation in MEC. A MEC simulation setup and two scenarios were developed using Simu5G and evaluated regarding their latency and use of resources when subject to SUMO-generated mobility data. Analysis of the simulated scenarios show that the MEC systems reacts differently depending upon different mobility conditions. Also, the developed setup showed to be very useful to develop and test mobility management strategies in MEC environments.
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